AI Enablement & Innovation Leader Applying AI

Turning Enterprise Strategy into Practical AI Solutions.

Innovation and enablement leader with hands-on technical execution. From testing early voice AI in McDonald's drive-thrus and building IoT simulations at Scooter's Coffee, to architecting secure search systems at a regulated insurance carrier - I focus on what works. I partner with cross-functional teams to design practical roadmaps, establish responsible governance, and build production tools that eliminate routine drudgery and deliver measurable business value.

Targeting Roles in Chicago • Milwaukee • Indianapolis • Remote

Explore Practical Case Studies ↓ Download Resume (PDF)

Why Hands-On AI Enablement Matters

Slide decks that never become working software create cynicism. Point tools built without understanding business workflows create confusion. An enablement leader who builds connects both worlds.

01 // Purpose & Value

Human-Centered Enablement & Business Value

AI is never about replacing human purpose. It is about eliminating routine drudgery so cross-functional teams can unlock creativity, empathy, and higher-order problem solving.

Why Point Tools Stall

They build clever point solutions in isolation without understanding change management, employee adoption curves, or practical workflow integration.

The Enablement Leader Value

Translates business priorities into pragmatic, shippable solutions with clear ROI, user enablement, and responsible adoption.

02 // Practical Engineering

Production Reality & The Edge-Case Test

Happy-path demos are easy. Real enterprise AI lives and dies in the unproven edge cases - whether dealing with roaring diesel engines in a McDonald's drive-thru or complex policy rules at a regulated insurance carrier.

Why Pure Strategists Fall Short

They rely on vendor pitch decks and black-box tools that choke when context windows overflow, token budgets spike, or APIs fail.

The Enablement Leader Value

Hands-on design of hybrid search, deterministic cost controls, containerized FastAPI services, and self-healing test harnesses.

03 // Governance & Cost Control

Responsible Governance & Cloud Discipline

Innovation without guardrails is an operational liability. Battle-tested across high-trust, regulated environments such as insurance and financial services.

The Risk of Unguarded AI

Uncontrolled experiments trigger confidential data exposure, hallucination issues, compliance gaps, and runaway cloud invoices.

The Enablement Leader Value

Embeds role-based access control, data isolation, continuous quality evaluation, and practical token cost caps from Day 1.

Featured Case Studies: From Prototype to Production

Practical implementations engineered to solve real organizational friction and deliver reliable business value.

Enterprise Search & Knowledge Management

Case Study 1: Enterprise Knowledge Hub: Intelligent Search & Retrieval

View Case Study →

// The Organizational Friction

Support and operations teams struggled with manual documentation searches across fragmented knowledge bases. Early chatbot tests revealed that context windows could not hold all documentation, and standalone files frequently desynchronized from live knowledge bases.

The Trade-Off Trap: High-reasoning models increased accuracy but resulted in slow response times and rapid token consumption that hit budget caps.

// The Practical Solution

Architected a secure hybrid retrieval pipeline using Azure AI Search (vector embeddings + BM25 keyword matching) with a high-throughput FastAPI microservice. Implemented role-based document access and automated evaluation benchmarking to ensure consistent, accurate responses.

// Applied Architecture Pipeline

Living Documentation Sources SharePoint / PDFs / APIs

▼ Hybrid Chunking & Ingestion

Azure AI Search Hybrid Engine Vector + BM25 + RBAC

▼ Semantic Reranking & Filtering

FastAPI Service + Guardrails Grounding & Quality Checks

▼ Closed-Loop Evaluation Bank

Sub-Second Verified Response < 850ms Latency

< 850ms Retrieval Latency

0 Manual File Desyncs

100% Role-Based Data Isolation

~65% Cost & Token Reduction

Semi-Autonomous Agent Factory & Software Testing

Case Study 2: Semi-Autonomous Agent Factory & Harness

Explore Agent Factory → The AI Decision Blueprint →

// The Organizational Friction

Generative AI is an outstanding partner for rapidly turning business ideas into interactive prototypes. However, moving from prototype to reliable software requires repeatable engineering discipline rather than fragile, one-off prompts.

The Uncontrolled Loop Trap: Unconstrained agent workflows can loop indefinitely, repeat errors, and burn cloud budgets without producing production-grade test coverage or accessible interfaces.

// The Practical Solution

Designed a 9-stage semi-autonomous development factory featuring deterministic $0 compute fast-paths (SHA-256 change fingerprinting), persistent vector memory (ChromaDB + JSON), automated test harnesses (pytest), and human-in-the-loop approval gates. Validated by shipping the "RegPulse" regulatory monitor with 100% automated test coverage.

// Semi-Autonomous AI Factory

Stage 01: Spec & Requirements Agent Decoupled Decision Logic • HITL Gate

▼ $0 Change Fingerprint Check

Stage 02-04: Automated TDD & Coding ChromaDB Persistent Memory

▼ Self-Healing Test Execution

Stage 05-07: UI/UX Audit & Marketing Desktop / Tablet / Mobile • HITL Gate

▼ Enterprise Webhook Approval

Stage 08-09: Deployment Readiness GTM Packaging • Containerized App

9 Stages Supervised AI Factory

20 / 20 Automated Tests Passed

$0 Deterministic Fast-Paths

Grade A+ WCAG 2.1 AA Accessibility

Mobile Product & Cloud AI Integration

Case Study 3: Resume Refine: AI-Powered Career Assistant (Mobile iOS)

View Case Study →

// The User Friction

Job applicants often struggle to tailor their resumes effectively for distinct roles and career transitions. Standard chatbot interfaces feel clunky on mobile devices and lack clear, structured guidance.

The Mobile AI Challenge: Delivering an AI-powered experience on mobile requires solving sub-second responsiveness, structured JSON formatting, prompt resilience, and graceful handling of poor network connectivity.

// The Practical Solution

Developed a native iOS application in SwiftUI backed by a secure API Gateway, Python backend workers, and Google Gemini with structured schema validation. Provides job seekers with instant, constructive feedback and actionable resume enhancements.

// Mobile-to-Cloud Architecture

Native iOS SwiftUI Client Tactile UX • Offline-First State

▼ Secure API Gateway & Rate Limiter

Backend Worker & Orchestration FastAPI • Python Workflows

▼ Structured Schema & Guardrails

Gemini Multimodal Model Schema Validation & Retries

▼ Real-Time UI Render

Intuitive Career Tool App Store Quality Mobile UX

0-to-1 Full Lifecycle Delivery

Sub-Second Perceived Native Latency

Zero-Crash Structured Prompt Resilience

Native iOS App Store Quality Experience

Midwest Focus // AI Enablement & Innovation

Rooted in the Midwest. Ready to help teams adopt AI with confidence.

With aging family in the region and hands-on experience spanning global QSR innovation at McDonald's, operational systems at Scooter's Coffee, and regulated insurance carrier workflows, I bring practical Midwestern grit, authentic commitment, and hands-on execution to organizations across Chicago, Milwaukee, Indianapolis, and remote teams.

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